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Somatic mutations reveal hyperactive Notch signaling in prurigo nodularis
Ahmad Rajeh, Shahin Shahsavari, Hannah Cornman, Alexander Kollhoff, Anuj Gupta, Mindy D. Szeto, Anusha Kambala, Olusola O. Oladipo, Varsha Parthasarathy, Junwen Deng, Melika Marani, Shirin Shahsavari, Selina M. Yossef, Vedha Vaddaraju, Waleed Adawi, Yagiz M. Akiska, Davies M. Gage, Sarah Wheelan, Thomas Pritchard, Madan M. Kwatra, Yevgeniy R. Semenov, Alexander Gusev, Won Jin Ho, Srinivasan Yegnasubramanian, Shawn G. Kwatra
Ahmad Rajeh, Shahin Shahsavari, Hannah Cornman, Alexander Kollhoff, Anuj Gupta, Mindy D. Szeto, Anusha Kambala, Olusola O. Oladipo, Varsha Parthasarathy, Junwen Deng, Melika Marani, Shirin Shahsavari, Selina M. Yossef, Vedha Vaddaraju, Waleed Adawi, Yagiz M. Akiska, Davies M. Gage, Sarah Wheelan, Thomas Pritchard, Madan M. Kwatra, Yevgeniy R. Semenov, Alexander Gusev, Won Jin Ho, Srinivasan Yegnasubramanian, Shawn G. Kwatra
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Research Article Dermatology Genetics

Somatic mutations reveal hyperactive Notch signaling in prurigo nodularis

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Abstract

Prurigo nodularis (PN) is a chronic inflammatory skin disease characterized by pruritic skin nodules of unknown etiology. Little is known about genetic changes in PN pathogenesis, particularly somatic events, which are often implicated in inflammatory conditions. We thus performed whole-exome sequencing on 54 lesional and nonlesional skin biopsies from 17 patients with PN and 10 patients with atopic dermatitis (AD) for comparison. Somatic mutational analysis revealed that PN lesional skin harbors recurrent somatic mutations in fibrotic, neurotropic, and cancer-associated genes that are absent in adjacent PN nonlesional skin. Nonsynonymous mutations were most frequently present in NOTCH1 and the Notch signaling pathway, a key regulator of cellular proliferation and tissue fibrosis. In contrast, NOTCH1 mutations were absent in AD. Somatic copy-number analysis, combined with expression data, identified recurrently deleted and downregulated genes in PN lesional skin, which are associated with axonal guidance and extension. Follow-up immunofluorescence validation demonstrated increased NOTCH1 expression in PN lesional skin fibroblasts and increased Notch signaling in PN lesional dermis. Finally, a multicenter analysis revealed increased risk of NOTCH1-associated diseases in patients with PN. In characterizing the somatic landscape of PN, this study highlights the potential role of Notch pathway dysregulation in PN pathogenesis and fibrosis.

Authors

Ahmad Rajeh, Shahin Shahsavari, Hannah Cornman, Alexander Kollhoff, Anuj Gupta, Mindy D. Szeto, Anusha Kambala, Olusola O. Oladipo, Varsha Parthasarathy, Junwen Deng, Melika Marani, Shirin Shahsavari, Selina M. Yossef, Vedha Vaddaraju, Waleed Adawi, Yagiz M. Akiska, Davies M. Gage, Sarah Wheelan, Thomas Pritchard, Madan M. Kwatra, Yevgeniy R. Semenov, Alexander Gusev, Won Jin Ho, Srinivasan Yegnasubramanian, Shawn G. Kwatra

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Figure 1

Somatic mutational landscape of PN.

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Somatic mutational landscape of PN.
(A) Schematic of the study design, i...
(A) Schematic of the study design, including sample collection and analysis. (B and C) Example skin images of 2 patients with prurigo nodularis (PN) enrolled in this study. (B) Dorsal left arm of an African American patient with scattered prurigo nodules. (C) Right arm of a White patient with scattered prurigo nodules. (D) Demographic information of patients with PN and atopic dermatitis (AD). (E) Waterfall plot displaying somatic mutations in 15 of the most frequently mutated genes in PN lesional skin compared with nonlesional skin. Ties were broken by known gene function. Columns represent the 17 patients with PN. Numbers shown on the right indicate the frequency of gene mutation. Total nonsynonymous somatic SNPs and indels per sample are displayed on top. One sample was hypermutated with 450 mutations. Bottom plot shows the frequency of different classes of SNVs. Variants annotated as “Multi hit” are those genes that mutated more than once in the same sample. (F) Total number of somatic mutations per sample, broken down by predicted impact on protein product based on snpEff, with functional (high or moderate) impact in yellow and nonfunctional (low or modifier) in blue.

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